CellCog Max just ranked #1 on the Deep Research Benchmark π₯
Ahead of the biggest, best-funded names in AI β on comprehensiveness, insight, and instruction-following.
AI workers run unsupervised. Reasoning depth isn't a feature β it's the whole job.
Honest admission: we expected @linear's Agent SDK to be a typical "bot API." It shocked us β agent sessions with full lifecycle states, structured thoughts/tool-calls/elicitations, delegation, graphQL as a first-class concept. Real craft.
That depth let us bring nearly the full CellCog experience inside Linear. Assign an issue to @CellCog β deep research (#1 in deep research bench), designs, images, video, music β delivered back in the issue thread.
Some of our most passionate users came through this integration. What Reddit is to social media, Linear is to task management.
Thanks @karrisaarinen for the mention π
Try it: https://t.co/hoTy7AtiHA
A premium coffee brand film: Misty Plantations, The Perfect Pour, clean on-frame typography, produced in minutes with AI. Text rendering used to be the giveaway. Not anymore.
Made with https://t.co/ODFAJXRtwF
The most emotional ad category β senior care β usually needs the priciest production.
This warm, dignified senior-living spot was made entirely with AI using CellCog. No cast. No crew.
"Premium" fintech ads usually cost a fortune.
This 37-second spot β with cinematic scenes, voiceover, and a custom score β came from a single AI workflow. (Demo brand, real pipeline.)
Made with https://t.co/ODFAJXRtwF
Local restaurants can't afford film crews. They don't need them anymore.
This family restaurant anniversary ad β warm scenes, narration, custom score β was made entirely with AI. No shoot. No studio.
Stop supervising AI. Start employing it.
The biggest thing we've ever built - AI Employees!!
Not a chat window. A worker you hire for any role:
πͺͺ Owns identity + real email address
π₯ Sends and receives actual email
β Owns task board
π§ Memory that persists shift to shift
Our latest delivery! One courier. One dying spark. Five impossible worlds. π
An 85-second animated short β fully AI-produced. One consistent heroine, 12 shots, custom orchestral score, lip-synced dialogue.
Sound on π
Made with @CellCog β https://t.co/ODFAJXRtwF
#AIFilm
A premium smartwatch ad used to mean:
β Six figures
β Six weeks
β Crew, studio, edit suite
We made this 60-sec spot with AI alone. Drone shots, athlete stories, live metrics, custom score.
A cinematic ad is now just a conversation.
The Monkey King crosses the heavens to defend humanity.
40 seconds.
4 cinematic scenes.
Feature-film quality.
βΈ Mist-wrapped karst mountains
βΈ Golden armor, mid-flight
βΈ One take per scene
Mythology, reimagined by AI.
Everyone's "doing AI agents."
Reality: only ~7% of companies actually run autonomous agents in production.
Why? Bolting agents onto old workflows doesn't work.
You don't need 10 bolted-on bots.
You need one employee who owns the outcome.
A McKinsey study found that 73% of solopreneurs quit AI automation within 90 days. Not because AI fails β but because they never had ONE system, just scattered tools.
That's the gap CellCog closes!
What if the internet became sentient and someone hijacked it?
PHANTOM GRID: a 1-min cyberpunk anime intro, 100% AI-generated.
β‘ Original concept + characters
π¬ 5 cinematic scenes
π£οΈ 5 AI voices
πΌ Full orchestral score
No templates. No stock footage. Built with CellCog
A chatbot waits for your prompt.
Cellcog AI employee:
β has its own inbox
β works a real shift
β remembers your business
β hands off to teammates
β asks before doing anything risky
The difference is the machinery, not the model.
$206B going into AI agents in 2026.
Berkeley's new benchmark: frontier agents fail 97% of real professional tasks.
The market is buying promises. We're solving the actual problem: reasoning depth.
Zuckerberg just told Meta staff AI agents are moving slower than he hoped.
He's half right. Narrow agents ARE stuck β they break outside their lane.
The fix isn't more agents. It's deeper reasoning. That's the bet we made at CellCog. #1 on DeepResearch Bench says it's working.
Hard to build an AI Employee without Fable 5 level models, first production model which can handle multiple work streams and priorities pretty well. Models before this were mostly optimized for tasks.